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Beam 1.0 vs Qwen2.5-Omni-7B

Beam 1.0 leads the LLM Stats Score 44.6 to 4.7.

Reflection AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 4.7, ranking #46 overall.

In the 1 individual benchmarks reported for both models, Beam 1.0 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Beam 1.0

  • overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5-Omni-7B

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
44.6
#46
4.7
#324
45.5
#37
0.9
#338
33.7
#39
1.0
#260
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Beam 1.0
Qwen2.5-Omni-7B
35.1#45
5.0#286
15.9#105
5.1#172
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 45 for Qwen2.5-Omni-7B

1 shared

Beam 1.0 outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

494.3B diff

Beam 1.0 has 494.3B more parameters than Qwen2.5-Omni-7B, making it 7061.4% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
501.3B
Beam 1.0
7.0B
Qwen2.5-Omni-7B

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5-Omni-7B supports multimodal inputs, whereas Beam 1.0 does not.

Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Beam 1.0

Apache 2.0

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Qwen2.5-Omni-7B was released on 2025-03-27.

Beam 1.0 is 19 months newer than Qwen2.5-Omni-7B.

Beam 1.0

Oct 16, 2026

4 days ago

1.6yr newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Qwen2.5-Omni-7B's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.

Beam 1.0

Jun 2026

Qwen2.5-Omni-7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about Beam 1.0 vs Qwen2.5-Omni-7B.

Which is better, Beam 1.0 or Qwen2.5-Omni-7B?

Beam 1.0 leads the LLM Stats Score 44.6 to 4.7. Beam 1.0 is made by Reflection AI and Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Beam 1.0 compare to Qwen2.5-Omni-7B in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for Beam 1.0 and Qwen2.5-Omni-7B?

Beam 1.0 supports 1.0M tokens and Qwen2.5-Omni-7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Beam 1.0 and Qwen2.5-Omni-7B?

Key differences include LLM Stats Score (44.6 vs 4.7), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Qwen2.5-Omni-7B?

Beam 1.0 is developed by Reflection AI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.